Article
Soil Science
Y. Pachepsky, G. Karahan
Summary: This study analyzed 5023 infiltration curves and identified 12 different types of curve shapes, with approximately 1/3 of the datasets displaying non-classic shapes. Infiltration measurement method, clay content, and organic carbon content were found to be the most influential predictors of the curve shape type.
Article
Agronomy
Mohd Amirul Mahamud, Noor Aida Saad, Roslan Zainal Abidin, Mohd Fazly Yusof, Nor Azazi Zakaria, Mohd Aminur Rashid Mohd Amiruddin Arumugam, Safari Mat Desa, Md. Nasir Md. Noh
Summary: This study used GIS technology to determine soil loss risk in Cameron Highlands and accurately calculated C and P factors by integrating data on agricultural and urban development, revealing a high risk of soil erosion in the area.
Article
Water Resources
Mahdi Panahi, Khabat Khosravi, Sajjad Ahmad, Somayeh Panahi, Salim Heddam, Assefa M. Melesse, Ebrahim Omidvar, Chang-Wook Lee
Summary: The study focused on soil infiltration in the western part of Iran, using a deep learning algorithm with optimization techniques to predict cumulative infiltration and infiltration rate. Results showed that time of measurement is more important for cumulative infiltration, while soil characteristics (particularly silt content) are more significant for infiltration rate prediction. The study demonstrated the effectiveness of input variables, with silt being the most dominant factor controlling the infiltration process, especially in rangeland areas prone to soil compaction. The developed CNN algorithms showed high performance, particularly when combined with metaheuristic optimization algorithms, outperforming other prediction models for both cumulative infiltration and infiltration rate.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Soil Science
Partson Mubvumba, Paul B. DeLaune, Frank M. Hons
Summary: Cover crop technology has the potential to benefit monoculture wheat systems in semi-arid regions, but the impact on soil water dynamics is a major concern. The study found that cover crops can lead to lower stored soil water initially, but ultimately result in greater positive change in soil water before wheat planting compared to non-cover crop treatments. Additionally, the greater infiltration and water capture after cover crop termination has the potential to make up for the loss in soil water caused by cover crop use.
SOIL & TILLAGE RESEARCH
(2021)
Article
Engineering, Geological
Yalei Cao, Meijuan Xu, Pengpeng Ni, Guoxiong Mei
Summary: Impervious structures in cities limit rainfall infiltration, but using perforated storm sewers can improve drainage. Research shows that the feature of drainage holes only influences the wetting front in the initial stage of infiltration.
Article
Agronomy
Antonino Pisciotta, Rosario Di Lorenzo, Agata Novara, Vito Armando Laudicina, Ettore Barone, Antonino Santoro, Luciano Gristina, Maria Gabriella Barbagallo
Summary: The study found that in unfertilized vineyards, winter leguminous cover crop and buried pruning residues had a positive effect on the performance of Grecanico dorato grapevines, demonstrating the reliability of reducing nitrogen fertilizer use. By using cover crops and burying pruning residues, it is possible to increase the overall sustainability of rain-fed vineyards in Sicily without negative effects on grape and must quality.
Article
Engineering, Environmental
A. Angelaki, P. Sihag, M. Sakellariou-Makrantonaki, C. Tzimopoulos
Summary: This study investigates the impact of sorptivity on water infiltration mechanisms in various soil types, through both mathematical analysis and laboratory experiments. The results suggest that sorptivity significantly affects infiltration processes, particularly in more synectic soil types. Estimating sorptivity could lead to improved irrigation planning, flood prediction, and water conservation strategies.
Article
Agronomy
Yuxin He, Kaicheng Yang, Wenhua Zhuang, Chao Liu, Longguo Li, Chi Zhang, Mingming Li
Summary: Through on-farm experiments and soil parameter analysis, it was found that retaining crop residues can improve soil saturated hydraulic conductivity and reduce the risk of phosphorus loss in purple soil. However, removing crop residues can lead to a decrease in soil aggregate stability and an increase in soil erosion and phosphorus loss risk. It is recommended not to remove crop residues in purple soil regions to ensure sustainable agricultural development.
Article
Forestry
Brian P. Oswald, Cassady P. Dunson, Kenneth W. Farrish
Summary: This study investigates the effects of prescribed burning on soil water infiltration and soil physical properties in Western Gulf Coast forests. The results show that soil water infiltration rates increase after burning, and there are significant changes in soil physical properties.
Article
Engineering, Civil
Xiaoran Fu, Jiahong Liu, Zhonggen Wang, Dong Wang, Weiwei Shao, Chao Mei, Jia Wang, Yan-fang Sang
Summary: In this study, the changes in infiltration characteristics of three green infrastructures (GIs) were simulated during a rain event in Xiamen, China. The maximum infiltration rate (MIR) and cumulative infiltration (CI) of permeable pavements, vegetative swales, and rain gardens were found to differ under different scenarios of permeable material thickness. Comparisons between GIs with and without barriers revealed that the MIR remained unchanged, while the CI varied with the depth to the impervious layer. Identifying the potential impacts of infiltration processes beneath GIs can be beneficial in urban stormwater management.
JOURNAL OF HYDROLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Alireza Sepahvand, Ali Golkarian, Lawal Billa, Kaiwen Wang, Fatemeh Rezaie, Somayeh Panahi, Saeed Samadianfard, Khabat Khosravi
Summary: In this study, the performance of a deep learning algorithm and conventional models in predicting infiltration process was compared. Hybrid models enhanced by metaheuristic algorithms were also tested. The results showed that the hybrid models outperformed conventional models in predictive capability, and time was identified as the most effective variable for predicting cumulative infiltration.
EARTH SCIENCE INFORMATICS
(2022)
Article
Engineering, Geological
Faisal S. Ahmed, L. Sebastian Bryson, Matthew M. Crawford
Summary: Rainfall-induced landslides pose serious threats to civil infrastructure and human life. Prediction of seasonal variation in hydrologic behavior is critical for landslides. Including evapotranspiration in prediction methods is a significant improvement for early warning systems.
ENGINEERING GEOLOGY
(2021)
Article
Environmental Sciences
Xinli Xie, Jie Wang, Lei Hou, Jilei Wang, Zhaoqi Bin, Faqi Wu
Summary: The study investigated the impact of different cropping systems on soil loss by establishing experimental plots and utilizing novel C-factor estimation models. Results showed significant correlations between factors such as crop coverage, plant height, root weight density, and root length density with soil loss.
LAND DEGRADATION & DEVELOPMENT
(2021)
Article
Soil Science
Lunjiang Wang, Guanghui Zhang, Xue Wang
Summary: Soil-litter mixing has been found to have an impact on soil erosion, but previous studies did not differentiate between litter exposed on the soil surface and litter buried in the soil. This research shows that exposed litter can decrease soil erosion, while buried litter can increase soil erosion.
SOIL & TILLAGE RESEARCH
(2022)
Article
Agronomy
Zeng Cui, Ze Huang, Jia Luo, Kaiyang Qiu, Manuel Lopez-Vicente, Gao-Lin Wu
Summary: The study found that soil infiltration rate and water content were significantly higher in litter covered biocrusts and litter crusts compared to biocrusts. Litter cover can break the water repellency of biocrusts, increase infiltration rates, and enhance soil water content, which is beneficial for ecological restoration in sandy ecosystems.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)
